Назад
5 дней назад

Data Platform Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Platform Engineer (Python/Cloud Infra): Building and operating the core infrastructure and lakehouse for a global AI translation platform with an accent on data ingestion, AI-powered interfaces, and system reliability. Focus on scaling Databricks-based lakehouses, implementing data observability, and designing robust CI/CD pipelines for data workflows.

Location: Hybrid in London (required office attendance twice a week)

Company

DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems through its Language AI platform.

What you will do

  • Build and evolve core data platform infrastructure, including a Databricks-based lakehouse and Kafka ingestion systems.
  • Develop AI-powered data workflows, MCP connectors, and interfaces to enable humans and AI agents to access data.
  • Implement data observability and quality frameworks to ensure data reliability and confidence at scale.
  • Manage infrastructure-as-code using Terraform/Terragrunt and maintain CI/CD pipelines for data workflows.
  • Steward developer experience by creating golden-path templates and patterns for engineers across the company.

Requirements

  • Solid hands-on experience building and operating cloud-based data infrastructure.
  • Proficiency in writing production-quality Python code.
  • Expertise with infrastructure-as-code (Terraform/Terragrunt), Docker, and Kubernetes.
  • Reliability mindset with experience in observability, alerting, and owning systems in production.
  • Platform-product mindset focused on reducing friction and improving developer experience.
  • Must be based in London to support a hybrid work schedule (2 days/week in office).

Nice to have

  • Experience with Databricks, Apache Iceberg, or Kafka.
  • Familiarity with Go or Java.

Culture & Benefits

  • Hybrid work model with flexible hours and a focus on productivity.
  • Ownership stake through Virtual Shares linked to company growth.
  • 30 days of annual leave plus access to mental health resources.
  • Monthly Hack Fridays for exploring passionate side projects and cross-team collaboration.
  • Diverse, international environment with a community representing over 90 nationalities.

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